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Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran + dbt Labs is building data pipelines to power the modern data stack for thousands of companies. We’re looking for a Senior Staff Systems Engineer, Data and Integrations to join our Systems Engineering team and set the technical direction for the data that runs Fivetran's business. In this role, you will own the data architecture behind our marketing, sales, billing, and product operations: the canonical data models, the contracts between systems, and the pipelines and transformations that move data reliably between them. You will lead our largest and most consequential data initiatives, such as system migrations, org consolidations, and re-platforming of core integrations, from design through validation and cutover. This position sits at the crossroads of data engineering, data modeling, and business process. You will partner closely with our Systems, Analytics, and Engineering teams, as well as Marketing, Revenue Operations, Accounting, Product Operations, and other business partner teams, and you will mentor the engineers who build within the standards you set. This is a full-time position based out of our Oakland, California office. Technologies You’ll Use Our core systems are Salesforce, Netsuite, Coupa, Workday, and Zendesk, with BigQuery as our data warehouse. Our current integration stack includes Celigo and Fivetran itself.  You should be an expert in SQL and strong in a general purpose programming language such as Python or TypeScript, and comfortable evaluating and adopting new tools when necessary. A data engineering background is required, with expertise in data modeling, ETL/ELT development, data quality testing, and data validation at scale. Experience with dbt or a similar transformation framework, and with API-based and event-driven integration patterns, is preferred. Help us bring established data engineering practices to internal business systems, and define what those practices should be here. What You’ll Do Data Architecture and Standards Own the canonical data models for Fivetran's marketing, sales, billing, and product operations integrations, and define how business concepts map to data across our core systems. Define team-wide standards for data modeling, data quality, testing, governance, and documentation, and drive their adoption across Systems Engineering and partner teams. Contribute to the design of integration architecture, establishing guidance for when to use batch, real-time, and event-driven data movement. Delivery of Complex Initiatives Lead the design and execution of our most complex data initiatives, including bulk migrations, system consolidations, and re-implementation of core integrations, from target-state design through validation, cutover, and stabilization. Build, review, and ship the SQL and Python transformations and pipelines behind these initiatives, setting the bar for code quality on the team. Design the validation and reconciliation approach for migrations and pipeline changes, and sign off with stakeholders that record counts, values, and business rules reconcile. Reliability and Observability Design the monitoring, alerting, and data quality framework that gives end-to-end visibility into data freshness and accuracy across systems, and define the KPIs used to measure integration and data health. Lead root cause analysis on the most complex cross-system data issues, and drive the systemic fixes that prevent recurrence. Business Partnership Technical Leadership Translate ambiguous requirements from cross-functional business partners into data models and technical designs, and drive alignment across teams with competing priorities. Serve as the technical lead and subject matter expert for business data within the Systems Engineering team. Mentor other engineers and review their designs and code, raising the team's proficiency in data modeling, testing, and pipeline design. Write and maintain design documents and data flow documentation for current and target state, so decisions are legible to the team and to partners. Skills We’re Looking For 10+ years of experience in Data Engineering, Analytics Engineering, or a similar role, with a deep focus on modeling and transforming business data and a track record of technical leadership on complex, multi-team initiatives. Expert SQL proficiency, including complex transformations, performance tuning, and large-scale data reconciliation. Strong proficiency in a general purpose programming language such as Python or TypeScript, with experience building production-grade, tested data pipelines. Hands-on experience with business systems data models such as those for Salesforce, NetSuite, Coupa, Workday, or Zendesk, including a data migration, org merge, or major re-implementation. Demonstrated experience designing and delivering large-scale ETL/ELT solutions and the data quality, validation, and governance frameworks around them. Ability to evaluate trade-offs between short-term delivery and long-term data architecture health, and to communicate those decisions clearly. Ability to lead through influence, driving alignment across technical and non-technical stakeholders without direct authority. Bonus Skills Experience with dbt or a similar transformation framework. Hands-on experience with iPaaS platforms such as Celigo, Workato, or Boomi, and with reverse ETL tools, including experience choosing between them. Experience with cloud platforms such as AWS or GCP, infrastructure as code, and CI/CD for data pipelines. Familiarity with AI/ML capabilities to augment data quality, matching, and automation. By stepping into this role, you will define how Fivetran's + dbt Labs business data is modeled, governed, and moved, and lead the initiatives that make it scale. #LI-HYBRID #LI-VA1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $202,787 — $253,483.50 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: London, United Kingdom Workplace: remote Join Tether and Shape the Future of Digital Finance At Tether, we’re not just building products, we’re pioneering a global financial revolution. Our cutting-edge solutions empower businesses—from exchanges and wallets to payment processors and ATMs—to seamlessly integrate reserve-backed tokens across blockchains. By harnessing the power of blockchain technology, Tether enables you to store, send, and receive digital tokens instantly, securely, and globally, all at a fraction of the cost. Transparency is the bedrock of everything we do, ensuring trust in every transaction. Innovate with Tether Tether Finance: Our innovative product suite features the world’s most trusted stablecoin, USDT , relied upon by hundreds of millions worldwide, alongside pioneering digital asset tokenization services. But that’s just the beginning: Tether Power: Driving sustainable growth, our energy solutions optimize excess power for Bitcoin mining using eco-friendly practices in state-of-the-art, geo-diverse facilities. Tether Data: Fueling breakthroughs in AI and peer-to-peer technology, we reduce infrastructure costs and enhance global communications with cutting-edge solutions like KEET , our flagship app that redefines secure and private data sharing. Tether Education : Democratizing access to top-tier digital learning, we empower individuals to thrive in the digital and gig economies, driving global growth and opportunity. Tether Evolution : At the intersection of technology and human potential, we are pushing the boundaries of what is possible, crafting a future where innovation and human capabilities merge in powerful, unprecedented ways. Why Join Us? Our team is a global talent powerhouse, working remotely from every corner of the world. If you’re passionate about making a mark in the fintech space, this is your opportunity to collaborate with some of the brightest minds, pushing boundaries and setting new standards. We’ve grown fast, stayed lean, and secured our place as a leader in the industry. If you have excellent English communication skills and are ready to contribute to the most innovative platform on the planet, Tether is the place for you. Are you ready to be part of the future? About the job QV.AC is a general purpose AI assistant that runs locally on your devices, it gives users greater control over their data and how they use artificial intelligence. Our focus is on local, on-device, and privacy-preserving AI, with opportunities to connect these experiences across Tether’s peer-to-peer ecosystem. We’re looking for a Product Manager with a strong interest in AI and a practical understanding of how to turn emerging capabilities into useful products. You will work closely with the Product Lead to help advance the QV.AC vision: identifying valuable use cases, defining AI features, exploring product concepts, and working with engineering and design to bring them to users. You’ll contribute to product direction and take responsibility for moving assigned features from discovery through delivery and iteration. This role suits someone who knows how to leverage AI to the maximum and enjoys experimenting with new AI technologies, understands its possibilities and limitations, and cares about making complex technology easy to use. Responsibilities Help shape AI features: Work with the Product Lead to translate the QV.AC vision into concrete use cases, feature proposals, and product requirements. Bring ideas grounded in user needs, research, and hands-on experimentation. Understand users and their problems: Gather feedback, conduct research, and explore how people use AI in their everyday workflows. Identify where AI can solve a meaningful problem and where a simpler solution may work better. Turn ideas into clear specifications: Write product briefs, user stories, acceptance criteria, and user flows that help engineering and design understand the intended experience, constraints, and measures of success. Prototype and explore: Create wireframes, mockups, and working prototypes to test ideas and communicate product behavior. Use AI-assisted tools to explore concepts quickly and refine them with the team. Collaborate on technical trade-offs: Work with engineers to understand what is feasible across devices and models. Help assess the impact of response quality, latency, memory usage, battery consumption, and privacy on the user experience. Support prioritization and planning: Help the Product Lead evaluate opportunities, clarify scope, identify dependencies, and maintain a focused backlog aligned with product priorities. Drive feature delivery: Follow assigned features through development, resolve product questions, review the experience, and coordinate feedback and release readiness with relevant teams. Stay close to AI developments: Explore new AI products, models, tools, and interaction patterns, and explain their practical relevance to QV.AC . Share clear recommendations about what is worth testing or adopting and why. Mandatory: 7+ years of product management experience, ideally working on AI software products with technical engineering teams. Practical experience building, shipping, or prototyping AI-powered features, with the ability to explain your contribution and what you learned. A working understanding of AI concepts such as inference, harnesses, model capabilities and limitations, context, and evaluation, alongside an interest in local and on-device AI. The ability to translate an ambiguous idea into a clear user problem, proposed solution, and actionable requirements. Strong product judgment, with attention to usability, scope, and measurable user value. Confidence creating prototypes using design or coding tools Clear written and verbal communication, including the ability to discuss technical trade-offs with engineers and explain them to non-technical colleagues. A proactive, collaborative approach: comfortable taking responsibility for your work, asking questions early, and incorporating feedback. Familiarity with product analytics, user research, and iterative software development. Preferred: Experience with local AI, on-device inference, or open-source models. Experience building AI assistants, conversational interfaces, or multimodal features. Familiarity with desktop or mobile product development. An understanding of peer-to-peer technologies and decentralized applications. Experience evaluating AI output quality and designing user experiences that account for uncertainty and errors. Experience working in a distributed team. Important information for candidates Recruitment scams have become increasingly common. To protect yourself, please keep the following in mind when applying for roles: Apply only through our official channels. We do not use third-party platforms or agencies for recruitment unless clearly stated. All open roles are listed on our official careers page: https://tether.recruitee.com/ Verify the recruiter’s identity. All our recruiters have verified LinkedIn profiles. If you’re unsure, you can confirm their identity by checking their profile or contacting us through our website. Be cautious of unusual communication methods. We do not conduct interviews over WhatsApp, Telegram, or SMS. All communication is done through official company emails and platforms. Double-check email addresses. All communication from us will come from emails ending in @ tether.to or @ tether.io We will never request payment or financial details. If someone asks for personal financial information or payment at any point during the hiring process, it is a scam. Please report it immediately. When in doubt, feel free to reach out through our official website.

Location: London, UK About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Anthropic Anthropic's mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About Beneficial Deployments Beneficial Deployments ensures AI reaches and benefits the communities that need it most. We partner with nonprofits, foundations, and mission-driven organizations to deploy Claude in education, global health, economic mobility, and life sciences — focusing on raising the floor for those who need it most. About the Role We're looking for an Applied AI Engineer to join our Beneficial Deployments, Life Sciences team. This is a partner-facing role: you'll support nonprofits, research institutes, academic medical centres and public-sector funders as they use Claude to get treatments to patients with rare and neglected diseases, where there is little or no commercial incentive to fund development. The role focuses on clinical development, where we think Claude can help these partners today. Trials in these diseases have small patient populations, investigator-led or nonprofit funding and little operational support, and they often stall on protocol quality, operational risk and site start-up. Claude can help teams design better trials and start them sooner. Much of this work is drug repurposing: testing new uses for approved, usually off-patent or generic medicines, whose known safety profiles can let a good hypothesis reach patients years sooner than a new molecule. You'll advise and embed in partners' teams, building alongside their engineers, scientists and clinicians. Responsibilities Work with partners' trial teams to design, review and prioritise clinical trials with Claude: drafting and reviewing protocols and statistical analysis plans, and flagging enrolment and operational risks. Build and validate tools that help partners find new uses for approved, mostly off-patent medicines in rare and neglected diseases, from literature, omics and patient data, and assemble the evidence so the partner can decide the next step. Build reusable infrastructure other institutions can adopt (MCP servers for biomedical data sources, agent skills, benchmarks grounded in real clinical questions), and feed what you learn in the field back to product, engineering and research. You Might Be a Good Fit If You Have Hands-on clinical development experience: designing, running or analysing clinical trials, or assessing clinical evidence to decide which programmes go forward (for example due diligence or asset evaluation). Drug repurposing work as part of that is a strong plus, as is having contributed to a regulatory submission for a trial. Comfort with biomedical data: literature, omics, and real-world patient data (health records, registries, claims), ideally inside secure or trusted research environments. Strong engineering skills: you can take an LLM-powered tool from prototype to production code, and write evals to measure it. Experience working directly with external partners or customers in a technical role. Clear written and verbal communication: docs other institutes can use without you, and results clinicians trust. A scrappy mentality: you're comfortable in ambiguity, wear several hats, and do what it takes to get a result for a partner. The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: £225,000 — £255,000 GBP Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: New York Workplace: OnSite LIFE AT UIPATH The people at UiPath believe in the transformative power of automation to change how the world works. We’re committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care—about each other, about UiPath, and about our larger purpose. Could that be you? CHIEF OF STAFF, GTM AMERICAS ABOUT THE JOB UiPath is transforming how organizations work through automation and AI. As our Americas GTM organization continues to scale and evolve, we are looking for a Chief of Staff to help the President of Americas Sales increase the speed, focus, and effectiveness of the business. The Chief of Staff will serve as the President’s operating partner and execution integrator. This role will help convert priorities into coordinated action, strengthen the operating rhythm of the organization, remove friction across teams and processes, and ensure that important decisions move quickly from discussion to execution. The Americas GTM organization operates across multiple segments, industries, customer needs, and go-to-market teams. The successful candidate will help the organization respond more quickly to market changes, customer needs, product and portfolio evolution, and business priorities by ensuring that our teams are positioned to sell the breadth of UiPath’s offerings and deliver against our revenue commitments. This role will work closely with the President’s Executive Assistant, HR Business Leader, GTM Strategy leader, and Americas leadership team. Each partner will bring distinct expertise; the Chief of Staff will connect those efforts and ensure the organization operates with clarity, urgency, and accountability. WHAT YOU’LL OWN Initiative portfolio and tracking. Build and run the Americas leadership team's long-running initiatives. Drive the coordination and follow through, and where needed fill the gaps with necessary problem solving and analysis. Weekly intelligence and field communications. Keep pulse on the business by pulling together leadership meeting transcripts, Slack threads, deal and forecast reviews, and field feedback into the operating rhythms and communications with the field. Build this into an automated system vs. a manual chase. Operating rhythm. Own the agenda, pre-reads, and follow-up for each forum including QBRs, leadership team cadence, important cross functional touchpoints, and decision forums. Executive leverage systems. Design and build the tools that make the Americas team more efficient. Examples include automated briefing packs, meeting prep, initiative dashboards, and AI-assisted digests drawn from Slack, email, and meeting notes. The expectation is that the CoS builds these, not that they request them from another team. Delegated initiatives and one-offs. Lead two or three named strategic initiatives at a time end to end on the President's behalf. Illustrative examples are a cross-functional sales play launch, an account-planning push, or customer consumption review cadence. Act as the intake point for one-off requests: triage each one, decide whether it belongs with the CoS, a functional owner, or nowhere, and track whatever is accepted to completion Turn ambiguity and insights into a plan: Partner with the GTM Strategy leader to translate commercial priorities, insights, and changes in market execution into practical execution across the Americas organization. Represent the President: Partner with the HR Business Leader and Executive assistant on the execution of the highest priorities, adoption of organizational changes, leadership transitions, and other business priorities, without owning the underlying people strategy. You will handle sensitive and confidential information with sound judgment,and maturity while anticipating what the organization will need next. WHAT YOU’LL BRING TO OUR TEAM - 10+ years of experience in a Chief of Staff, business operations, consulting, Sales leadership, transformation, or comparable role within a complex organization. - Experience supporting a senior executive, preferably a Sales or GTM leader, in a high-growth B2B SaaS or enterprise technology company. - Strong understanding of how enterprise GTM organizations operate, including the connection between Sales, pre-sales, Customer Success, Partners, Marketing, Finance, Product, and Professional Services. - Demonstrated ability to improve operational rigor, simplify processes, remove organizational friction, and accelerate execution. - Experience leading complex, cross-functional initiatives in which success depends on influence rather than formal authority. - Strong business judgment and the ability to quickly distinguish between issues that require executive action, cross-functional coordination, or local ownership. - Exceptional written and verbal communication skills, with the ability to synthesize complex information and create clear recommendations for senior leaders. - A track record of building effective operating mechanisms without creating unnecessary bureaucracy. - The ability to anticipate risks, connect dependencies, and drive sustained follow-through across multiple teams. - Strong analytical skills and the ability to use data, stakeholder input, and customer or field feedback to inform decisions and improve execution. - Executive presence, emotional intelligence, and the ability to build trust across a broad and diverse leadership group. - Comfort operating with ambiguity, urgency, shifting priorities, and incomplete information. - A practical, low-ego, highly collaborative approach, with the willingness to work across organizational boundaries to help the business move forward. - A genuine interest in how businesses evolve and improve, with the curiosity to test, learn, iterate, and continuously raise the effectiveness of the organization. WHAT SUCCESS LOOKS LIKE In this role, success means the Americas GTM organization can move with greater speed, clarity, and coordination. The Chief of Staff will help create: - Faster movement from decision to execution - Clearer ownership and stronger follow-through - Fewer internal bottlenecks and unnecessary handoffs - More effective cross-functional collaboration - Earlier visibility to business risks and execution gaps - Faster organizational response to customer, market, product, and company changes - Stronger readiness to sell UiPath’s evolving portfolio and go-to-market motions - A leadership team that is focused on the highest-value priorities - An operating environment that can continuously learn, adapt, and improve - Greater capacity for the President and leadership team to focus on growth, customers, talent, and revenue performance Maybe you don’t tick all the boxes above—but still think you’d be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes—and passion can’t be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy https://www.uipath.com/legal/trust-and-security/privacy-policy.

Location: San Francisco, California, United States At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We’re excited to welcome a new cohort of graduates with a computer science or related major who are ready to leverage their skills to drive real-world impact and shape the future of finance! In our hybrid early career program, you’ll be paired with a tenured Affirmer and have an opportunity to collaborate in-person 3 days a week out of our New York City, or San Francisco offices. You'll experience the best of both worlds: the in-office experience and remote work. After the one-year, you can remain hybrid, go remote, or stay in an office. Opportunities are available across different tech stacks and teams so that you can find a perfect fit to launch your career with Affirm! What You'll Do With the support of your team, you will work on tasks that contribute to the team's projects and goals. You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. USA Pacific base pay range (SF): $ 130,000 - 180,000 Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: India Workplace: Remote ABOUT CLICKHOUSE Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With over 2,000 customers and ARR that has more than quadrupled over the past year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. We're on a mission to transform how companies use data. Come be a part of our journey! ABOUT THE TEAM The Managed Postgres team is building ClickHouse's fully managed Postgres service. It gives developers a fast, reliable Postgres that works natively alongside ClickHouse, so one platform covers both transactional and real-time analytical workloads. This is a strategic, high-visibility initiative, and the user experience we build will shape how thousands of developers create, manage, monitor, and scale their databases. ABOUT THE ROLE We're looking for a Full Stack Software Engineer to help build responsive, performant, and elegant interfaces that make complex database operations feel simple. You'll work closely with product, design, and backend engineers, and you'll learn from senior engineers while owning real features from day one. WHAT YOU'LL DO - Turn designs and user requirements into intuitive, high-quality interfaces for the Managed Postgres experience in ClickHouse Cloud. - Build features end-to-end: React and TypeScript on the frontend, plus integration with (and contributions to) backend APIs. - Build data-rich UIs for metrics, diagnostics, backups, replication, and performance insights. - Contribute to click-ui, our open-source design system, and follow frontend best practices: code quality, performance, accessibility, and testing. - Give product and design feedback from a developer's point of view. ABOUT YOU - Experience: 1–4 years in frontend or full-stack development. - Core skills: Solid React, TypeScript, and modern frontend fundamentals (state management, component architecture, data fetching). - Backend exposure: Comfortable working with REST APIs; Node.js, Go, or similar is a plus. - Collaboration: You enjoy working closely with designers and backend engineers across a global team. - Developer empathy: You care about fast, clear, purposeful UIs for technical users. - Ownership: You take initiative, ask good questions, and carry work from idea to delivery. - Growth mindset: You're keen to learn and grow your scope quickly. NICE TO HAVE - Experience with Postgres, SQL, or database tooling - Accessibility (WCAG) knowledge - Data visualization or dashboard experience - Open-source contributions WHY JOIN US - Shape the future of the Postgres user experience inside one of the fastest-growing data platforms. - Real ownership and autonomy from day one. - Learn from experts in databases, distributed systems, and developer experience. - Solve meaningful problems in performance, scale, and usability.   PERKS - Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries. - Healthcare - Employer contributions towards your healthcare. - Equity in the company - Every new eligible team member who joins our company receives equity. - Time off - Flexible time off in the US, generous entitlement in other countries. - A USD$500 Home office setup if you’re a remote employee. - Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites. CULTURE - WE ALL SHAPE IT As part of a rapidly scaling start-up, you will be instrumental in shaping our culture. Are you interested in finding out more about our culture? Learn more about our values here https://clickhouse.com/company/careers. Check out our blog posts https://clickhouse.com/blog or follow us on LinkedIn https://www.linkedin.com/company/clickhouseinc/life/0c1ee7f4-2129-488d-b413-e7f6270659fd/?viewAsMember=true to find out more about what’s happening at ClickHouse. EQUAL OPPORTUNITY & PRIVACY ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. Please see here https://clickhouse.com/legal/applicant-privacy-notice for our Privacy Statement.

Location: Colombia, Huila, Colombia; São Paulo, Brazil About Turing Turing’s mission is to accelerate superintelligence to drive real economic progress. Headquartered in San Francisco, Turing works with frontier AI labs to generate high-quality datasets, reinforcement learning environments, and frontier research benchmarks that improve model capabilities in software engineering, enterprise knowledge work, and advanced STEM reasoning. In software engineering, Turing is the largest and longest-running data provider in the category. Turing also works with Fortune 500 enterprises across financial services, life sciences, healthcare, retail, automotive, and CPG to build and deploy end-to-end agentic AI systems inside mission-critical workflows. By operating on both sides, Turing closes the loop between frontier research and enterprise deployment, turning real-world deployment signals into better data, evaluations, and more capable models. Learn more at www.turing.com . Senior ML & Data Engineer — Data Quality & Sensitive Data Compliance This is a full-time remote role based in Brazil or Colombia. About the role Enterprise data flows through our connectors, gets processed, and passes through a sanitization layer before anything downstream touches it. Two things have to be true at every step: the data is what we think it is, and no sensitive information — PII, PHI, company identifiable information (CII), or financial data — gets through. You'll own both. You'll do this primarily by building the machine learning that detects sensitive entities in text and image data and replaces them consistently at scale. This is a hands-on IC engineering role with a QA mindset. You'll build the detection models, validation infrastructure, adversarial test sets, and audit processes that let us make strong claims about data quality and de-identification performance — and back them up with evidence. You'll work closely with a senior ML lead, with no client-facing responsibilities. What you'll do Data Quality Run deep dives into enterprise data to assess quality: topic coherence across connectors, domain depth within connectors, completeness, and consistency Design and automate validation suites for data pipelines — schema checks, completeness, drift detection, and reconciliation across raw → processed → sanitized stages Surface and characterize quality issues in ways that engineering and product can act on Sensitive data compliance (PII / PHI / CII / financial) Design, train, and evaluate ML models (NER and other approaches) that detect sensitive entities across text and image-based documents such as scans, invoices, and presentations Build replacement pipelines that substitute detected entities with coherent alternatives, so the same entity always maps to the same replacement across every file in a corpus and the data stays useful Run these algorithms over large volumes of data to prepare it for downstream agentic task building Build adversarial test sets for de-identification across all sensitive data classes: edge cases, obfuscated identifiers, multilingual entities, OCR noise, and formats designed to slip past detectors Cover company identifiable information specifically — organization names and aliases, domains and email patterns, internal project and system names, org charts, vendor and partner relationships, contract terms, and any combination of details that could re-identify the source enterprise Cover financial data — account and routing numbers, card numbers, revenue and pricing figures, transaction records, tax IDs, and financial statements Measure and report de-identification performance by data class — entity-level precision and recall, leak rates, false-negative audits, and replacement consistency Implement regression gates in CI/CD so no pipeline change ships without passing data quality and sensitive-data checks Run sampling-based human-in-the-loop audits and maintain the audit trail as compliance evidence Partner with engineering on root-cause analysis when inconsistencies or leaks are found, and drive fixes to closure What we're looking for About 4 to 5 years of hands-on machine learning experience, with ML as your primary background Strong Python for ML development and data validation (pytest, Great Expectations, Pandera, or similar) Solid SQL and experience validating data across pipeline stages Familiarity with sensitive data categories and the relevant standards — HIPAA Safe Harbor for PHI, GDPR/LGPD for PII, PCI DSS for cardholder data, and confidentiality/NDA obligations for company information Experience building and testing NER or other ML-based detection systems: building labeled eval sets, computing precision/recall, handling non-determinism Understanding of re-identification risk — how seemingly innocuous details combine to reveal an organization or individual Comfort with ambiguity and a fast-moving environment A skeptical, detail-oriented approach — you assume things are broken until you've proven otherwise Nice to have Computer vision and OCR experience, especially building, scaling, and evaluating document pipelines for contracts, statements, invoices, presentations, and internal documents Hands-on experience with financial or healthcare data, including the privacy requirements specific to those industries Startup experience Auditing LLM or VLM outputs Synthetic sensitive-data generation (PII, PHI, company and financial records) Familiarity with the GCP data stack (BigQuery, GCS, Cloud Run jobs) and CI/CD integration Experience handling multi-tenant enterprise data with strict customer confidentiality requirements Compliance reporting or working with auditors Why this role matters Our enterprise customers trust us with their data on the condition that it can never be traced back to them. Every downstream model, dashboard, and customer commitment depends on the data being clean and the sanitization layer being airtight. When you find a leak, you've prevented an incident. When you prove there isn't one, you've earned the trust that lets the rest of the company move fast. Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Work at the frontier of AI , helping the world’s leading AI labs improve their most advanced models by building expert datasets, RL environments, and first-of-a-kind benchmarks. Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR, ICML, and NeurIPS. Bring frontier AI innovation to the enterprise , applying lessons learned from leading AI labs to solve real-world business challenges. Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta, Amazon, and other leading technology companies. Move at the pace of AI innovation , with the speed, ownership, and impact of a startup. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace  and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here .

Location: Boston, MA Workplace: OnSite At WHOOP, we’re on a mission to unlock and inspire performance for life. WHOOP empowers members to perform at a higher level through a deeper understanding of their bodies and daily lives. Our wearable technology collects rich physiological data, providing members with actionable insights into their recovery, training, and sleep. We are seeking a Staff Applied Machine Learning Scientist to develop and continuously improve production-ready edge algorithms that transform sensor data into accurate, reliable, and real-time physiological insights. In this role, you will develop innovative approaches that combine deep learning, machine learning, and signal processing to deliver meaningful value to WHOOP members while optimizing for accuracy, latency, power, and scalability across wearable platforms. You will work closely with a cross-functional team of scientists, engineers, physiologists, and hardware experts to solve challenging problems at the intersection of wearable sensing, physiological modeling, and applied AI. You will develop novel modeling approaches, and own complex algorithmic problems from early development through production deployment and continuous improvement. Your work will directly shape the future of WHOOP’s sensing capabilities and our ability to provide members with accurate, personalized, and actionable insights into their health and performance. RESPONSIBILITIES: - Design advanced algorithms that combine signal processing, physiological modeling, machine learning, and deep learning for physiological time-series and multimodal sensor data, with a focus on accuracy, robustness, and generalization across diverse members and real-world conditions. - Own the development and continuous improvement of production-ready edge algorithms that transform multimodal sensor data into accurate, reliable, and real-time physiological insights. - Analyze large-scale wearable sensor datasets to identify performance gaps, characterize challenging conditions, and drive data-informed algorithm improvements. - Define rigorous evaluation methodologies, validation frameworks, and performance metrics to assess algorithms throughout development and deployment. - Optimize algorithms for embedded deployment, balancing accuracy with power, memory, latency, and compute constraints across current and future wearable platforms. - Set technical direction and establish best practices for modeling, experimentation, validation, and algorithm development across complex sensing problems. - Pursue ambiguous, high-impact technical initiatives from research and prototyping through validation, production deployment, monitoring, and continuous improvement. - Collaborate closely with Data Science, Firmware, Software, Hardware, Product, and domain experts to translate algorithmic innovations into production-ready capabilities and member-facing features. - Stay at the forefront of advances in deep learning, machine learning, signal processing, edge AI, and physiological sensing, and translate relevant innovations into differentiated WHOOP capabilities. QUALIFICATIONS: - MS or PhD in Electrical Engineering, Biomedical Engineering, Computer Science, Machine Learning, Applied Mathematics, or a related quantitative field. - 7+ years of experience developing and deploying machine learning, deep learning, and/or signal processing algorithms for complex real-world applications. - Deep technical expertise in modern machine learning and deep learning methods, particularly for time-series and multimodal sensor data. - Strong foundation in digital and statistical signal processing, with the ability to combine classical signal processing techniques with modern learning-based approaches. - Strong proficiency in Python for algorithm development, experimentation, and large-scale data analysis; experience with C/C++ and embedded algorithm development is highly desirable. - Demonstrated ability to develop robust models using large, noisy, real-world datasets and achieve strong generalization across diverse conditions. - Experience designing rigorous experiments, defining performance metrics, performing error analysis, and translating findings into algorithm improvements. - Experience taking algorithms through the full development lifecycle, from research and prototyping through validation, deployment, monitoring, and continuous improvement. - Strong analytical and problem-solving skills, with the ability to navigate ambiguity and make sound technical decisions. - Experience with physiological signals, wearable sensors, or biomedical sensing is highly desirable. - Experience optimizing algorithms for resource-constrained embedded or edge environments, including tradeoffs across accuracy, power, memory, compute, and latency, is a plus. - Strong commitment to embracing and leveraging AI tools in day-to-day work while maintaining high standards for quality and rigor. Join us in pushing the boundaries of wearable sensing, applied AI, and physiological intelligence and positively impacting people’s lives! This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-Verify to determine employment eligibility. It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Location: New York, New York, United States At Affirm, we exist for the moments that matter—giving people a clear, predictable way to pay over time, with no hidden fees, no surprises, and no tradeoffs on what matters most. Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. We’re excited to welcome a new cohort of graduates with a computer science or related major who are ready to leverage their skills to drive real-world impact and shape the future of finance! In our hybrid early career program, you’ll be paired with a tenured Affirmer and have an opportunity to collaborate in-person 3 days a week out of our New York City, or San Francisco offices. You'll experience the best of both worlds: the in-office experience and remote work. After the one-year, you can remain hybrid, go remote, or stay in an office. Opportunities are available across different tech stacks and teams so that you can find a perfect fit to launch your career with Affirm! What You'll Do With the support of your team, you will work on tasks that contribute to the team's projects and goals. You will work collaboratively and proactively with your team and stakeholders, bringing them along for your work and helping to create visibility and dialog regarding the risks and trade-offs related to your work. You will strike the right balance of speed and quality in your work, ensuring that we hit our business goals while protecting our systems from downtime. You will contribute to a sense of community on your team by engaging in growth and development activities. What We Look For You have mastered taking a simple problem or business scenario into a solution that interacts with multiple software components, and executing on it by writing clear, easily understood, well tested and extensible code. You are comfortable navigating a large code base, debugging others' code, and providing feedback to other engineers through code reviews. Your experience demonstrates that you take ownership of your growth, proactively seeking feedback from your team, your manager, and your stakeholders. You have strong verbal and written communication skills that support effective collaboration with our global engineering team. This position requires either equivalent practical experience or a Bachelor’s degree in a related field. USA Pacific base pay range (NY): $ 130,000 - 180,000 Remote-first with flexibility built in Affirm is proud to be a remote-first company. Most roles can be done from almost anywhere within the country of employment. Some positions may occasionally require in-person work at an Affirm office, and a few are office-based due to the nature of the work. All new hires will be invited to attend an in-person onboarding experience. Benefits designed for you Our benefits reflect our commitment to care, transparency, and flexibility. Here are a few highlights: Health coverage at no cost: We cover 100% of premiums for employees and their dependents. Spending stipends: Monthly stipends support your tech setup, and the ability to choose health and wellness options that are right for you. Time off to recharge: Flexible time off and generous holiday calendars help you rest when you need to. Own a piece of what you build: Our employee stock purchase plan (ESPP) lets you buy Affirm stock at a discount. We’re committed to providing an inclusive interview process, including accommodations for candidates with disabilities. If you need support, we’re happy to help. For positions based in San Francisco or Los Angeles: Affirm considers qualified applicants with arrest and conviction records, as required by law. By clicking "Submit Application," you acknowledge that you have read Affirm's Global Candidate Privacy Notice and consent to the use of your personal information as described.

Location: United States & Canada Workplace: Remote About WorkOS 🚀 WorkOS builds modern developer tools and APIs that make it easy for companies to become Enterprise Ready. Our platform powers authentication, identity, authorization, and other critical infrastructure that developers need to securely scale their products to large organizations. We recently raised a $100M Series C, valuing the company at $2B, led by Meritech and Sapphire with participation from Greenoaks, Craft, Abstract, and Audacious. WorkOS powers enterprise features for many of the fastest-growing AI companies, including OpenAI, Cursor, and Perplexity, Sierra, and Plaid. As AI reshapes software, WorkOS is at the frontier of Human and Agent Authentication, Identity, and Access Control helping companies answer a new critical question: who are your agents, and what are they allowed to do? Our fast-growing customer base includes hundreds of modern software companies building the next generation of enterprise-ready products. ABOUT THE ROLE The Data team at WorkOS plays a central role on the company operations to ensure information and insights are accurate and available from any surface, whether that's a visualization tool or an agent's response, to accelerate company growth and scale. The team owns WorkOS's internal data platform end to end: ingestion, orchestration, the Snowflake warehouse, dbt transformations, governance and access controls. We also own the consumption layer: the reverse-ETL syncs that land data in Salesforce and Slack, the semantic views that agents query, the definitions that keep reporting consistent across the company, and the visualization tooling the company uses (ask us about Flashboards https://workos.com/blog/reporting-tool-with-no-editor). We run on an agent-first operating system: we are a lean team that moves fast, we document so agents can execute, and AI agents query the warehouse, run our runbooks, and open pull requests alongside us. We trust each other's expertise, we work out loud and in the open, and not opposed to rapid experimentation to get to the right solution for the business. We're hiring a Data Engineer to own and evolve the systems that move, transform, protect, and serve data across our internal warehouse. This is a high-ownership role on a lean team: you will be the DRI for the platform and its core data models, partner directly with Product Engineering, RevOps, Finance, GTM Engineering, and Security, and raise the bar on reliability, correctness, and operational rigor. The role spans the platform and what runs on it. You will own ingestion, orchestration, and access governance; the dbt models and metric definitions that depend on them; and how AI is applied across the data stack, so that trusted data is easy for both people and AI agents to discover, understand, and work with. You don't need to have done this exact job before. The best data engineers at WorkOS are the ones who notice in a Slack thread that a number doesn't match, trace it from the dashboard through the Gold model to the connector, fix the connector, and confirm the definition with its owner before the weekly review. When a business team asks for a field in Salesforce, they don't hand it off; they build the model, write the sync, and add the test. They would rather automate the runbook than run it a third time. They enjoy collaboration with different parts of the business and can find simple, scalable solutions to ambiguous problems. If that sounds like how you work, we want to talk. RESPONSIBILITIES - Own the reliability, freshness, and scaling of the ingestion and orchestration pipelines that land source data in Snowflake, including monitoring, alerting, runbooks, and backfill and reprocessing patterns - Design, build, and scale the core dbt models (Bronze, Silver, Gold) for billing and usage, CRM, product events, and GTM funnel reporting - Partner with Product, Finance, RevOps, and GTM to define metrics and codify them in the warehouse, and diagnose and resolve data quality and freshness issues at source, not just downstream - Own Snowflake RBAC, dynamic masking, and PII classification for humans, agents, and service accounts, so sensitive data is protected without blocking legitimate use, and review DDL and access requests from Engineering and GTM - Own the reverse-ETL layer and the runbooks that deliver warehouse data to Salesforce, Slack, and internal agents - Extend the semantic views, context, and evaluations that let agents answer business questions accurately, and expand what agents can operate directly, from runbooks and ingestion to pull requests - Build and advance the CI/CD review gates in the data-platform monorepo, including the automated review that agent-authored pull requests pass through - Own the infrastructure the data platform runs on: the compute, deployments, secrets and access patterns, and environments behind ingestion and orchestration, with attention to availability and failure modes, in partnership with our infrastructure engineers Example problems you might work on, possible paths rather than a fixed roadmap: - Standardizing how Postgres and SaaS sources are ingested, and consolidating end-to-end pipeline deployment and orchestration in Prefect - Managing Snowflake RBAC, resource management, and masking policies as code with Terraform - Using query history to improve analytics tables and semantic views, and to keep agent answers accurate and consistent as data grows and metrics shift - Automating masking coverage as new data sources arrive, so adding a new table no longer needs a human in the loop - Automating near-certain matches in the Identity Graph - Pseudonymizing product data in the ingestion path, alongside compliance and data-deletion policies - Extending transcript aggregation across sources, including PII detection before transcripts enter the warehouse - Building the reverse-ETL framework and runbooks that deliver data to other tooling and agents - Running self-hosted data services on Kubernetes and managing their AWS resources (IAM, storage, secrets) as code with Terraform QUALIFICATIONS - 5+ years (or equivalent) building and operating production data platforms, including the transformation layer - Deep experience with Snowflake, dbt, and an orchestrator such as Prefect, Airflow, or Dagster, and with ingesting data from production databases and SaaS sources, including backfill and reprocessing patterns - Experience running data systems in production: monitoring, alerting, debugging, incident response habits, and pragmatic SLO/SLA thinking - Experience with warehouse access governance: RBAC, masking policies, and PII handling - Strong data modeling judgment and an understanding of schema evolution - Strong SQL and Python; disciplined engineering practices (tests, docs, reviews, CI/CD) - Proven experience operating as the only engineer on a layer, balancing foundational architecture with urgent business needs - Working knowledge of how GTM, Finance, and Product teams operate in addition to working with Engineering, and experience translating ambiguous business questions into technical specs - Comfortable using LLMs and coding agents as part of your day-to-day development workflow, with the judgment to validate their output and scale it into shared processes, and embracing AI and automation to scale platform work and accelerate your teammates - A systems thinker who reasons carefully about freshness, correctness, and failure modes, especially for data that everything else depends on - Pragmatic: you start with the simplest solution that works, prove it, then scale it, and you balance fast answers with durable solutions - You look for where AI can remove a bottleneck for the people and agents who depend on the warehouse, and you build the durable tools and workflows they rely on every day Benefits and Perks (US Only) 💖 At WorkOS, we offer resources that emphasize personal and familial well-being. We offer healthcare coverage for you and your family, including medical, dental, and vision. We offer parental leave, paid-time off and fully remote working arrangements.   - 401k matching - Competitive Equity - Healthcare, dental and vision coverage - FSA, ST/LT Disability, Voluntary Life - Carrot fertility benefits - 20 days paid vacation + 10 holidays + unlimited sick leave - 12 weeks fully paid parental leave - Fitness: Monthly stipend for gyms, yoga classes, race registrations or whatever keeps you active - Wellness: Monthly stipend for a massage, meditations class, therapy, or activities that enhance your well-being - Commuter benefits for hybrid employees in SF/NYC - Unlimited token usage! Please inquire directly with our recruiting team for benefits available to those working outside the US.   Equal Opportunity Employer WorkOS is an equal opportunity employer, committed to diversity and inclusiveness. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Location: Remote, Global Workplace: Remote ABOUT SUPABASE Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.   ABOUT THE ROLE We're looking for a Postgres Deployment Engineer to join our team and elevate our PostgreSQL offerings. You'll work hand-in-hand with the PostgreSQL team and play an instrumental role in technical decision-making and refining internal methodologies. The focus of this role is around owning stability and deployment of our products. This role involves ongoing contribution and co-responsibility for builds/deployments via our public supabase/postgres GitHub repository. This repository bundles an array of features/products into docker images and AWS AMIs, giving users the ability to run Supabase on our cloud and locally. This role will function has developed as a bridge between product and infrastructure teams to improve the reliability of product deployments and upgrades. In this role, your primary responsibilities will include: - Packaging software into our supabase/postgres https://github.com/supabase/postgres repo to using either nix language with flakes, or debian packaging depending on our required target - Supporting the expansion of knowledge in Supabase toward our platform release system so that developers can self service more and more over time. - Expanding on our github actions, our team tooling, and our testing/release approaches - Timely PostgreSQL major, minor, and extension upgrades. - Engaging in proactive identification and resolution of production issues in customer deployments. - Contributing to the creation/maintaining of best practices, tools, and tests to ensure enhanced stability and decreased deployment risks over time. What we need This role demands the following pivotal qualities: 1. PostgreSQL Expert: A profound understanding of PostgreSQL and its associated tools. Familiarity with extensions, performance optimization, and best practices is essential. 2. Infrastructure: Proven expertise in infrastructure management, tooling, and optimization. 3. Self-directed & Initiative: At Supabase, we value independence and proactive problem-solving. We anticipate you to be a dynamic self-starter, thriving in asynchronous collaboration across diverse teams. Your knack for spotting areas of improvement and commitment to realizing those enhancements will be key. What you’ll do - Improve the utility and efficiency of our PostgreSQL offerings. - Work with relevant teams to understand the issues around postgres stability, and apply those insights to the build/test/deploy AMI and Docker releases. - Contribute to the enhancement of our public GitHub repositories, especially supabase/postgres https://github.com/supabase/postgres. - Develop and expand tooling and solutions within the Supabase ecosystem. - Engage with customers routinely, ensuring our solutions resonate with their needs. - Address and resolve GitHub and Support issues. Must haves - 3+ years experience with PostgreSQL and its ecosystem. - Knowledge of ansible, Nix package management system (including nix flakes), packer, docker, qemu/kvm, aws, and kubernetes deployments is essential. Need experience with linux and darwin/macos aarch64 targets, as we maintain ability to build for both architectures - Must have experience with conventional and nix-packaged builds of C/C++, Go, javascript, and Rust based projects - Exposure to public cloud platforms and deployment methodologies. - Eagerness to improve and expand our development tools/stack. - Comfortable with regular interactions with customers - Willingness to work on an “integrated” system and approach to packaging. For many reasons, we cannot apply nix packaging to every component in our stack, nor can we just adopt Nixos in production. We have successfully laid the foundation for integrating conventional and Nix-based systems, with carefully validated choices including using flakes, etc. So, you must be willing to work within and help optimize this paradigm toward our platform development. - Must be willing to take on co-responsibility for teaching our engineering team to learn, use and contribute to our Nix-based work, and help troubleshoot and solve issues around the whole platform/postgres stack. Nice to haves - Experience with PostgREST, gotrue/supabase auth, and other Supabase stack components. - Contributions to significant, open-source projects in the PostgreSQL domain. WHAT WE OFFER - Fully Remote We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world. - ESOP Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together. - Tech Allowance Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work. - Health Benefits Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us. - Annual Off-Sites Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year. - Flexible Work We operate asynchronously and trust you to manage your own time. You know what needs to be done and when. - Professional Development Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth. ABOUT THE TEAM Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love. - ~400 team members - 60+ countries - 20+ languages spoken - Over $1B raised (including our $500M Series F) - 540,000+ community members We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.

Location: United Kingdom (Remote); Ireland (Remote) Workplace: Remote About Teleport Don't wait for the future of infrastructure. Be part of it. Teleport is the AI Infrastructure Identity Company. We're solving one of the hardest problems in security: giving every human, machine, workload, and AI agent a cryptographically secured identity, improving engineering velocity while maintaining security. We make trusted computing simple. This gives you the freedom, power, and autonomy to build and innovate with confidence. Remote-first and globally distributed, we work with companies like Nasdaq, DoorDash, and Elastic to secure infrastructure for an AI world. As a Senior Solutions Engineer, you will help the sales team drive revenue growth by evangelizing our technology via demos and technical discussions. You will get to collaborate with infrastructure engineering and security teams at the most sophisticated technology companies in the world. Most importantly, you will help these companies solve problems and get exposed to the latest ideas in technology. You will partner with account executives, other solutions engineers, and other teams to understand customer challenges, design secure and scalable solutions, and guide prospects through technical evaluations and proof-of-value engagements. You have experience working with AI technologies and infrastructure (LLMs, MCP, vector databases, AI tooling), and familiarity with traditional infrastructure networking and security (Linux/Unix, Windows, VPNs, bastion hosts, etc) and modern cloud-native technologies (cloud compute, containers, IaC, etc). What You'll Do - Partner with Account Executives and Account Managers to expand technical discovery, and map Teleport’s capabilities to customer initiatives. - Architect and deliver compelling demos and proof-of-concepts that showcase Teleport’s differentiation with Zero Trust principles, handling of human and non-human identities, identity governance, and identity security. - Act as the trusted advisor to engineering, platform engineering, DevSecOps, and security leaders. - Advise on protecting sensitive datasets and model endpoints with Teleport’s identity-based controls. - Position Teleport as a solution to eliminate API keys and static tokens in machine pipelines. - Support customers exploring AI/LLM use cases, including secure infrastructure for training and inference workloads. - Provide structured feedback to Product and Engineering on feature gaps and market needs. - Collaborate with Marketing on thought leadership around identity, human, non-human, and AI security. - Support channel and technology partners with technical enablement. - Help across various go-to-market activities, including marketing collateral, product positioning, customer interviews, sales cycle optimizations, traveling to conferences, brand evangelism, attending meetups, etc. - Listen deeply and perceive feedback as an opportunity to improve. - Demonstrate a high level of empathy, resilience, and humility. What You'll Bring - 5+ years of experience in pre-sales engineering, solutions architecture, DevSecOps or a highly technical customer-facing role. - Experience with using/configuring/debugging Linux machines and network issues. - Strong understanding and experience with Kubernetes, including hands-on troubleshooting. - Strong knowledge of at least one cloud computing platform - Strong knowledge of DevSecOps principles, CI/CD pipelines, and securing infrastructure at scale (e.g., source control, code reviews, unit testing, agile principles). - Advanced understanding of identity security and modern Zero Trust security approaches. - Proven ability to develop scripts and automation using Linux shell, Go, and Infrastructure as Code tools - Strong understanding of system architecture, provisioning, and administration - Familiarity with AI/LLM infrastructure (GPU clusters, data governance, inference workloads, ML pipelines) and associated security requirements. - Strong problem-solving and analytical skills, with the ability to troubleshoot complex issues - Ability to engage both technical and executive stakeholders with credibility and clarity. - Strong presentation, demo, and white-boarding skills. Why Teleport You're joining a company where the problem is real, the team is small, and your work shows up directly in the product. We're not a big company, you won't get lost in a crowd. You'll have the freedom and autonomy to do what you're great at, alongside teammates who care about doing it right and want to see you succeed. The work is collaborative, there's real room to grow, and the mission is one worth showing up for. Remote-first and globally distributed, we're genuinely passionate about what we're building. The Benefits At Teleport, we believe your career is more important than a list of perks. That's why we focus on making your day-to-day the best it can be — giving you the autonomy, access, and support to do the best work of your career. - Extensive health coverage - Annual expense budget - Rest and recovery policies that maximize your ability to recharge - Investment in your future with retirement savings plans - Professional development opportunities Teleport is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classifications protected by federal, state, or local law. Candidate Privacy Notice: For information about our collection and processing of job applicant personal data for this position, please see our Job Applicant Privacy Policy and Notice of Collection at goteleport.com/legal/apply/job-applicant/ http://goteleport.com/legal/apply/job-applicant/

Location: United Kingdom; London Workplace: Remote ABOUT ELEVENLABS ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always. We have expanded from voice into three main platforms: - ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale. - ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages. - ElevenAPI gives developers access to our leading AI audio foundational models. Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you. HOW WE WORK - High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy. - Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you. - AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations. - Excellence everywhere: Everything we do should match the quality of our AI models. - Global team: We prioritize your talent, not your location. WHAT WE OFFER - Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible. - Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities. - Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend. - Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose. - Annual team offsite: Each year, we bring your entire team together in a new location - past offsites have included Croatia, Italy and Cancún - Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend. About the Role As the Account Management Lead you'll lead a team of experienced account managers across the UK&I region. You'll balance people leadership, strategic direction, and hands-on customer impact - driving excellence in post-sales outcomes and ensuring your team consistently delivers measurable value to customers and the business. You will: - Lead, coach, and develop a high-performing AM team, owning team and regional NRR performance, customer retention, and expansion goals. - Act as a player-coach: directly manage priority accounts, join key customer conversations, and model best-in-class success practices. - Lead by example in complex post-sales and renewal cycles, unblocking issues, driving adoption, and identifying expansion opportunities. - Set strategic direction for the team, aligning customer success initiatives with company goals and market trends. - Monitor and optimize delivery quality across all accounts, ensuring consistency, excellence, and predictability in customer outcomes, implementing scalable processes that improve accuracy, visibility, and operational efficiency. - Design and implement repeatable playbooks for renewals, upsells, and adoption; automate workflows and tools to scale team impact. - Own the ongoing development and optimization of best practices for Commercial and Scale playbooks, ensuring consistent execution, measurable impact, and continuous refinement as the business evolves. - Build and maintain executive-level relationships across priority accounts, serving as a strategic advisor and customer advocate in internal and external forums. - Represent the voice of the customer in leadership discussions, influencing roadmap, operations, and revenue strategies. - Partner with Europe GTM & cross functional leadership to align organizational objectives, drive cross-functional initiatives, and ensure cohesive execution across customer success, sales, and operations teams. Requirements • 10+ years of experience in Account Management or post-sales roles within SaaS, ideally some of this within UK&I accounts. • Demonstrated technical acumen with the ability to upskill and enable the team — fostering confidence in navigating product capabilities, integrations, and data insights to strengthen customer outcomes. • 5+ years of direct people leadership experience — managing AMs, driving team quota, and developing talent through coaching and enablement. Passion for developing people and building a high-performance, feedback-driven culture grounded in accountability, learning, and customer impact. • Strong player-coach mindset: comfortable managing key accounts directly while leading others to excel in their own portfolios. • Demonstrated success in exceeding renewal, expansion, and NRR goals through effective customer engagement and strategic account management. • Expertise in CS methodologies and best practices (e.g. success planning, adoption frameworks, ROI storytelling, executive alignment). • Strong analytical and operational skills: adept at using data to identify performance trends, optimise workflows, and forecast outcomes. • Strong builder mindset - you thrive in building from scratch, redefining processes and playbooks, and operating with an AI-first mindset • Bonus: Hands-on with tools (Salesforce, Gong, Sigma, Pylon) and capable of improving data quality, visibility, and usage insights across the team. This role is remote-first, so it can be executed from anywhere within UK&I. If you prefer, you can work from our offices in London and Dublin. We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.

Location: Egypt Workplace: Remote Specright is the first purpose-built, patented platform for Specification Management. Whether it's packaging, raw materials, formulas, products, or machines, Specright helps companies digitize, map, and take action across their supply chain to reduce costs, increase profitability, and drive sustainability. Specright serves customers across industries, including packaging, food and beverage, consumer packaged goods, pharmaceutical, retail, industrials, and more. Specright is looking to hire a Software Engineer II within our Engineering team. In this role you will work closely with other senior engineers to design and develop software systems. You will be assigned the majority of the company's core tech stack and work in limited capacity with the product managers to clear requirements. You will work cross-functionally with teams including Sales, Marketing, Product Management, Customer Success, and Software Engineering. Responsibilities and Duties • Collaborate with Operations, Sales, and Product teams to design and scope out new features for our core platform • Architect solutions based on requirements document for larger features • Design a data schema that will evolve with the needs of a business • Work with Salesforce technologies in the Salesforce ecosystem Qualifications • Minimum BS in Computer Science or related technical field • 3+ years experience in Software Development • 2+ Experience in Salesforce Development • Experience building complex software systems and communicating with users, other technical teams, and senior management to collect requirements, describe software product features, technical designs, and product strategy • Understanding of professional software engineering practices & best practices for the full software life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations • Experience with AI tools and familiar with Agentic SDLC • Experience with agile development methodology • Experience developing Salesforce managed packages is a plus • Salesforce development certification is a plus We are an energetic company with an entrepreneurial, informal, versatile, intelligent, and fast-paced culture. We are a 100% remote company and promote an open and relatively flat organization with an emphasis on collaboration, sharing ideas, and information. It's more important to innovate than to worry about making mistakes. Specright is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Location: San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the Role We are looking for a SOX Director - Compute and Infrastructure to join our Internal Audit team at Anthropic. In this role, you will lead financial risk assessment and internal control design over compute and infrastructure.  This is Anthropic's largest cost and one of the most complex areas of our financial reporting.  You'll focus on cloud spend, usage-based costs, vendor commitments, accruals, and cost allocation, as we scale rapidly toward an IPO. This is a unique opportunity to build SOX controls at an AI-first company, in a domain where few established playbooks exist. Compute is purchased under multi-year agreements with multiple providers, metered in third-party environments, accrued from internal telemetry, and increasingly provisioned and scheduled by automated systems and agents. You will help define how controls work in that environment for both business and IT environments, from reliance on service providers to full-population monitoring of high-volume usage data, while maintaining the rigor required for public company compliance. As the SOX Director, Compute and Infrastructure, you will own scoping, control design, testing, remediation, and reporting for compute and infrastructure processes, partnering directly with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Finance & Strategy, and Procurement to design scalable controls, oversee documentation, and support communication with external auditors. This role reports to the Head of Business Controls and plays a critical part in strengthening internal control maturity through pre-IPO readiness and beyond. Key responsibilities Lead financial risk and internal control design for compute and infrastructure accounting, including cloud spend, usage-based costs, vendor commitments, credits, refunds, accruals, cost allocation, budgeting, and asset lifecycle management Develop and execute the SOX control plan and roadmap for compute and infrastructure, making defensible prioritization calls on what must be controlled now and what can follow Own scoping, risk assessment, walkthroughs, testing, remediation, and reporting activities for compute and infrastructure processes Build scalable, automated, and sustainable controls to support growth through pre-IPO and post-IPO readiness Pioneer the use of AI and automation to enhance control effectiveness, including full-population matching of usage to invoices, continuous monitoring, and anomaly detection Design, implement, and monitor controls over the completeness, accuracy, and cutoff of compute cost, including monthly accruals built from internal workload telemetry and the true-up to provider invoices Establish controls over multi-year provider agreements, including reserved capacity, minimum spend commitments, usage-based charges, signing credits, service-level credits, refunds, and billing corrections Design and test controls over the allocation of compute cost between cost of revenue and research and development, including workload tagging, shared clusters, and changes to tagging logic or allocation models Establish the investigation threshold and variance criteria used in the control design to ensure the precision needed to detect a material misstatement Design and test controls over infrastructure related control inclusive of development of an asset lifecycle management system Oversee control documentation and ensure audit-ready evidence is maintained for all compute and infrastructure processes, in compliance with US GAAP and SEC reporting requirements Own control requirements across high-volume financial data pipelines, partnering with Finance Analytics &BI, Finance & Strategy, and Accounting to validate completeness, accuracy, classification, general-ledger mapping, key reports, and monthly close governance Own the identification and control treatment of key reports and Information Produced by the Entity (IPE) used in compute accruals, allocation, and the close Partner with IT SOX and engineering teams on the IT general controls and automated controls that support compute data, including interface, ITAC’s, and change management over pipelines and models Embed control requirements into new systems, pipelines, and process changes at design time Lead the assessment of reliance on cloud providers that meter and bill compute, including review of SOC 1 reports, scope and period coverage, bridge letters, and exceptions or qualified opinions Define and monitor complementary user entity controls, and design alternative procedures where a provider report is missing, does not cover the relevant system or period, or includes exceptions Assess how the use of AI in Finance and in the close changes what controls need to cover, and update the control environment accordingly Partner with Compute Accounting, Finance Analytics & BI, Infrastructure Engineering, Procurement, and Finance & Strategy to implement scalable controls over compute and infrastructure Work with the Compute Controller and Chief Accounting Officer organizations to align control priorities with business objectives Train and enable process owners and control performers, many of whom are new to SOX, on control execution, evidence retention, and what audit-ready means Support management's assessment of internal controls over financial reporting (ICFR) and related disclosures Serve as the primary point of contact for external auditors on compute and infrastructure SOX matters Prepare the Company's formal positions on control design, provider reliance, and deficiency evaluation for compute and infrastructure Manage audit requests, coordinate testing schedules, and facilitate walkthroughs across compute and infrastructure processes Track and report on control status, testing results, and remediation to leadership Drive alignment with external auditors on testing approaches, reliance strategies, and deficiency evaluation and aggregation assessment Minimum qualifications Have designed controls over cloud, compute, or infrastructure cost, or over a comparable high-volume, usage-based process, and understand control objectives, IPE, and sufficiency of audit evidence Have proven ability to establish or scale SOX controls at newly public or pre-IPO companies Possess deep understanding of compute accruals, vendor commitments, cost allocation, financial close, and US GAAP requirements Have experience evaluating service organization reports (SOC 1 and SOC 2) and complementary user entity controls Are comfortable working with large datasets and data pipelines, and partnering with data science and engineering teams Can structure ambiguous control problems and influence across stakeholders without direct authority Have strong project management, analytical, and communication skills Hold a Bachelor's degree in Accounting, Finance, Business Administration, IT/Engineering Are passionate about building scalable processes that support organizational growth and Anthropic's mission to create safe AI Preferred qualifications Have 12+ years of hands-on SOX, internal audit, or internal controls experience, preferably in both Big 4 and in-house roles at a fast-paced technology company CPA (or similar certification) and/ or CISA Familiarity with cloud provider billing and commitment structures (AWS, GCP, Azure) SQL and comfort working directly with usage, telemetry, and cost data to validate what the systems are telling you Experience with controls over cost of revenue, gross margin reporting, and allocation methodologies Interest in or experience applying AI/ML technologies to audit, compliance, or risk management processes Understanding of lease accounting (ASC 842) and other accounting standards relevant to infrastructure and capacity arrangements Experience working at a high-growth AI or technology company Familiarity with financial data governance, internal controls over financial reporting (ICFR), and SEC disclosure requirements The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $230,000 — $300,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. For roles performing work in California: We will consider for employment all qualified applicants, including those with arrest or conviction records or criminal histories, in a manner consistent with the requirements of applicable state and local laws, including the San Francisco Fair Chance Ordinance, the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Remote Roles - EMEA Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core About the Opportunity We are seeking an experienced, hands-on and commercially minded Senior Compliance Manager to join our Product Compliance team.This is a senior individual-contributor role focused primarily on the day-to-day review of new products, material product changes and existing product enhancements. The emphasis is on delivering timely, well-reasoned product compliance assessments using a risk-based approach, ensuring that material compliance risks are sufficiently mitigated and the firm’s regulatory positioning protected.You will act as a trusted compliance partner throughout the product development lifecycle, helping Product and Engineering teams navigate complex regulatory requirements while enabling commercially viable outcomes. You will be expected to distinguish between legal or regulatory constraints that cannotbe crossed, risks that can be addressed through proportionate controls, and residual risks that require documented escalation or risk acceptance. What You'll Be Doing Own and deliver day-to-day compliance reviews of new products, features, market expansions and material changes to existing products across OKX's global business and product suite Review product requirements, technical documentation, user journeys, onboarding flows, trading or transaction mechanics, reward structures, disclosures and operational processes. Apply a risk-based waterfall that distinguishes hard legal or regulatory blockers from risks that may be addressed through controls, product conditions, jurisdictional restrictions, monitoring orescalation. Conduct and document product compliance risk assessments covering areas such as regulatory perimeter and licensing, AML/CFT, sanctions, KYC, consumer protection, financial promotions, trading and market conduct, asset safeguarding, data privacy and third-party risk. Produce clear, concise and evidence-based and solutions-based compliance recommendations setting out identified risks, required mitigants, residual exposure and the proposed approval or escalation route. Work directly with Product, Engineering, Legal, Risk, Central Compliance and local Compliance teams to develop practical and scalable solutions to identified compliance requirements. Maintain complete and accurate documentation and audit trails for product reviews, decisions, conditions, exceptions, approvals and subsequent changes. Support post-launch monitoring, control testing and assurance in partnership with Audit, Product and other Compliance teams, and drive remediation of identified issues Promote a compliance-by-design culture within the product lifecycle; communicate the Product Compliance framework and program requirements to relevant stakeholders and deliver targeted training or guidance to Product, Engineering and business teams as required. Support special projects and priority product launches in a fast-paced and continually evolving environment. What We Look For In You At least 8 years of relevant experience in Compliance, Legal or Risk within financial services, fintech, payments or the cryptocurrency industry. Bachelor's degree in law, finance, business, economics, engineering or a related field, or equivalent practical experience Significant hands-on experience in product compliance, regulatory advisory or product risk assessment, including advising on new products and material product changes Strong understanding of the digital-asset industry and the products offered by crypto platforms, including trading, custody, payments, staking or earn products, lending, structured products, wallets or DeFi. Strong working knowledge of relevant regulatory and compliance requirements, including licensing and regulatory-perimeter considerations, AML/CFT, sanctions, KYC, consumer protection, financial promotions and trading or market-conduct requirements. Demonstrated ability to analyze products or initiatives involving significant complexity and risk and translate regulatory requirements into practical product requirements and controls. Experience in and demonstrated success in leveraging AI-enabled technology to maintain risk assessment standards, including ongoing tuning of agentic skills aligned with the Company’s risk appetite. Excellent risk judgment and the ability to balance compliance rigor with a pragmatic, risk-based approach that supports responsible commercial outcomes. Proven ability to develop and deliver repeatable product compliance solutions, controls and review processes aligned with broader group requirements. Strong project-management and execution skills, including the ability to manage multiple concurrent reviews, maintain accurate documentation and meet product-launch deadlines Excellent written and verbal communication skills, with the ability to present clear recommendations and lead discussions with Product, Engineering, Legal, Risk, senior management and other Compliance stakeholders. Strong stakeholder-management skills and the ability to influence product decisions and constructively challenge proposals without compromising Compliance rigor. Self-motivated, proactive and comfortable operating independently within a fast-paced, globallydispersed team. High personal integrity and sound professional judgment, including the ability to identify when an issue requires escalation Nice to Haves Direct product compliance or regulatory advisory experience at a crypto exchange, fintech or technology-led financial-services company. Experience supporting multi-jurisdictional product launches and applying regulatory requirements across the United States, European Union, Middle East or Asia-Pacific Practical knowledge of CeFi trading products, including spot, derivatives, leverage, custody, institutional products and OTC flows Familiarity with Web3 products, blockchain technology, smart contracts, DeFi protocols and digital-asset transaction flows. Experience developing compliance risk-assessment frameworks, controls, and key risk indicators Perks & Benefits Competitive total compensation package Various team building programs and company events Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: San Jose, California, United States Who We Are At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core principles: We Before Me , Do the Right Thing , and Get Things Done . These shared values drive our culture, shape our processes, and foster a friendly, rewarding, and diverse environment for every OK-er. About the Team At OKX, we believe that the future will be reshaped by crypto, and ultimately contribute to every individual's freedom. OKX is a leading crypto exchange, and the developer of OKX Wallet, giving millions access to crypto trading and decentralized crypto applications (dApps). OKX is also a trusted brand by hundreds of large institutions seeking access to crypto markets. We are safe and reliable, backed by our Proof of Reserves. Across our multiple offices globally, we are united by our core About the Opportunity We are seeking an experienced, hands-on and commercially minded Senior Compliance Manager to join our Product Compliance team.This is a senior individual-contributor role focused primarily on the day-to-day review of new products, material product changes and existing product enhancements. The emphasis is on delivering timely, well-reasoned product compliance assessments using a risk-based approach, ensuring that material compliance risks are sufficiently mitigated and the firm’s regulatory positioning protected.You will act as a trusted compliance partner throughout the product development lifecycle, helping Product and Engineering teams navigate complex regulatory requirements while enabling commercially viable outcomes. You will be expected to distinguish between legal or regulatory constraints that cannotbe crossed, risks that can be addressed through proportionate controls, and residual risks that require documented escalation or risk acceptance. What You'll Be Doing Own and deliver day-to-day compliance reviews of new products, features, market expansions and material changes to existing products across OKX's global business and product suite Review product requirements, technical documentation, user journeys, onboarding flows, trading or transaction mechanics, reward structures, disclosures and operational processes. Apply a risk-based waterfall that distinguishes hard legal or regulatory blockers from risks that may be addressed through controls, product conditions, jurisdictional restrictions, monitoring orescalation. Conduct and document product compliance risk assessments covering areas such as regulatory perimeter and licensing, AML/CFT, sanctions, KYC, consumer protection, financial promotions, trading and market conduct, asset safeguarding, data privacy and third-party risk. Produce clear, concise and evidence-based and solutions-based compliance recommendations setting out identified risks, required mitigants, residual exposure and the proposed approval or escalation route. Work directly with Product, Engineering, Legal, Risk, Central Compliance and local Compliance teams to develop practical and scalable solutions to identified compliance requirements. Maintain complete and accurate documentation and audit trails for product reviews, decisions, conditions, exceptions, approvals and subsequent changes. Support post-launch monitoring, control testing and assurance in partnership with Audit, Product and other Compliance teams, and drive remediation of identified issues Promote a compliance-by-design culture within the product lifecycle; communicate the Product Compliance framework and program requirements to relevant stakeholders and deliver targeted training or guidance to Product, Engineering and business teams as required. Support special projects and priority product launches in a fast-paced and continually evolving environment. What We Look For In You At least 8 years of relevant experience in Compliance, Legal or Risk within financial services, fintech, payments or the cryptocurrency industry. Bachelor's degree in law, finance, business, economics, engineering or a related field, or equivalent practical experience Significant hands-on experience in product compliance, regulatory advisory or product risk assessment, including advising on new products and material product changes Strong understanding of the digital-asset industry and the products offered by crypto platforms, including trading, custody, payments, staking or earn products, lending, structured products, wallets or DeFi. Strong working knowledge of relevant regulatory and compliance requirements, including licensing and regulatory-perimeter considerations, AML/CFT, sanctions, KYC, consumer protection, financial promotions and trading or market-conduct requirements. Demonstrated ability to analyze products or initiatives involving significant complexity and risk and translate regulatory requirements into practical product requirements and controls. Experience in and demonstrated success in leveraging AI-enabled technology to maintain risk assessment standards, including ongoing tuning of agentic skills aligned with the Company’s risk appetite. Excellent risk judgment and the ability to balance compliance rigor with a pragmatic, risk-based approach that supports responsible commercial outcomes. Proven ability to develop and deliver repeatable product compliance solutions, controls and review processes aligned with broader group requirements. Strong project-management and execution skills, including the ability to manage multiple concurrent reviews, maintain accurate documentation and meet product-launch deadlines Excellent written and verbal communication skills, with the ability to present clear recommendations and lead discussions with Product, Engineering, Legal, Risk, senior management and other Compliance stakeholders. Strong stakeholder-management skills and the ability to influence product decisions and constructively challenge proposals without compromising Compliance rigor. Self-motivated, proactive and comfortable operating independently within a fast-paced, globallydispersed team. High personal integrity and sound professional judgment, including the ability to identify when an issue requires escalation Nice to Haves Direct product compliance or regulatory advisory experience at a crypto exchange, fintech or technology-led financial-services company. Experience supporting multi-jurisdictional product launches and applying regulatory requirements across the United States, European Union, Middle East or Asia-Pacific Practical knowledge of CeFi trading products, including spot, derivatives, leverage, custody, institutional products and OTC flows Familiarity with Web3 products, blockchain technology, smart contracts, DeFi protocols and digital-asset transaction flows. Experience developing compliance risk-assessment frameworks, controls, and key risk indicators Perks & Benefits Competitive total compensation package Various team building programs and company events Wellness and meal allowances Comprehensive healthcare schemes for employees and dependants More that we love to tell you along the process! OKX Statement: OKX is committed to equal employment opportunities regardless of race, color, genetic information, creed, religion, sex, sexual orientation, gender identity, lawful alien status, national origin, age, marital status, and non-job related physical or mental disability, or protected veteran status. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. The salary range for this position is $200,000 - $300,000 The salary offered depends on a variety of factors, including job-related knowledge, skills, experience, and market location. In addition to the salary, a performance bonus and long-term incentives may be provided as part of the compensation package, as well as a full range of medical, financial, and/or other benefits, dependent on the position offered. Applicants should apply via OKX internal or external careers site. Notice: All official OKX vacancies are published on this website. While roles may appear on selected third-party platforms from time to time, information on other sites may be inaccurate or outdated. If in doubt, please apply directly through our official careers website. Information collected and processed as part of the recruitment process of any job application you choose to submit is subject to OKX 's Candidate Privacy Notice .

Location: Remote - Riyadh MinIO is the data and memory foundation for enterprise AI. Built for the speed, scale, and economics that AI and analytics demand, AIStor and MemKV unify every layer of the data stack, from agentic and inference context memory to tables and objects across core, edge, and cloud. Trusted by 77% of the Fortune 100, MinIO is redefining how AI factories, intelligent applications, and autonomous agents secure, persist, and unlock the full value of their data. The Field Architect role at MinIO is a senior customer-facing technical position focused on defining, validating, and guiding architectures for AI, analytics, cloud-native applications, and large-scale data platforms. You will serve as a trusted technical advisor to customers, partners, and internal teams, translating business and application requirements into robust technical designs that deliver measurable outcomes. You will collaborate closely with the broader MinIO team through technical discovery, architecture design, proof-of-concept (PoC) delivery, production onboarding, performance validation, and long-term expansion. Success in this role requires hands-on expertise across the data stack, strong architecture and communication skills, and ownership of customer technical outcomes. What You Will Do: Technical Leadership & Architecture Technical Architecture and Discovery: Lead technical discovery with customers and partners to understand their business goals, data sources, application requirements, infrastructure constraints, and success criteria. Design end-to-end architectures that address those requirements. Data Platform Architecture: Design solutions across the full data stack, including ingestion and change data capture (CDC), batch and streaming pipelines, data processing, lakehouse storage and table formats, catalogs, query and analytics engines, orchestration, data quality, governance, and AI integration. Understand how these components work together and guide customers through architecture decisions and tradeoffs. AI and Analytics Workload Design: Define and validate architectures for AI/ML training and inference, analytics, lakehouse environments, high-performance data pipelines, and modern application data services. Object Storage and S3 Expertise: Serve as a subject matter expert in AIStor, object storage, S3-compatible architectures, distributed systems, replication, erasure coding, security, performance tuning, and large-scale namespace design. Customer Engagement & PoC Delivery Customer Technical Advisor: Build trusted relationships with customer technical stakeholders across data engineering, analytics, AI, infrastructure, platform, security, application, and operations teams. Guide customers toward informed architecture decisions. PoC Ownership and Delivery: Plan and conduct customer PoCs from initial scope through final technical review. Agree on success criteria, design and deploy the solution, integrate the required data stack components, build representative use cases, run functional and performance tests, troubleshoot issues, document results, and drive the PoC to a clear outcome and production plan. Customer Success Beyond the Win: Partner with Customer Engineering, Product Management, and Engineering to help customers move from PoC to production and expand adoption across additional workloads and teams. Ecosystem, Enablement & Field Operations Cloud-Native and Kubernetes Guidance: Provide technical leadership on Kubernetes, containers, automation, and deployment patterns across private, public, and hybrid cloud environments. Solution Integration: Work with customer teams and technology partners to integrate data sources, ingestion and streaming tools, processing and analytics engines, AI platforms, identity systems, observability tools, and infrastructure components. Technical Presentations and Enablement: Deliver architecture presentations, whiteboard sessions, demonstrations, workshops, and technical enablement for customers, partners, and internal teams. RFP, RFI, and Technical Response Support: Lead or contribute to technical responses covering the full data platform, including architecture, integrations, security, scalability, performance, and operational requirements. Product Intelligence & Market Expertise Product and Engineering Feedback: Capture customer requirements, PoC findings, integration needs, and field feedback. Work with Product and Engineering teams to resolve gaps and inform priorities. Competitive and Market Expertise: Stay current on object storage, data lakehouse, AI infrastructure, analytics, Kubernetes, cloud, and competing data platforms. Explain technical differentiation in the context of customer use cases. Your Skills and Experience: 10+ years of experience in a senior customer-facing technical role such as Field Architect, Solutions Architect, Sales Engineer, Systems Engineer, or Technical Consultant. Hands-on experience designing, integrating, and troubleshooting end-to-end data platforms. This should include several of the following: ingestion, CDC, batch and streaming processing, lakehouse architecture, catalogs, query engines, orchestration, data quality, governance, and AI/analytics workloads. Demonstrated experience leading customer PoCs, including defining success criteria, deploying and integrating components, validating functionality and performance, resolving technical issues, and presenting results. Strong understanding of object storage and S3-compatible architectures, including security, replication, data protection, performance, and scale-out design. Hands-on experience with Linux, networking, storage systems, containers, Kubernetes, and modern data center infrastructure. Practical experience with relevant data stack technologies, such as Kafka, Debezium, NiFi, Spark, Flink, Trino, Starburst, Iceberg, Delta Lake, or data catalogs. Experience with every listed technology is not required. Experience designing or supporting AI, machine learning, analytics, lakehouse, or large-scale data pipeline environments. Experience with public and hybrid cloud environments, including AWS, Azure, GCP, OCI, or private cloud platforms. Ability to lead technical discovery, design architectures, build demonstrations, analyze performance, troubleshoot integrations, and communicate tradeoffs clearly. Strong verbal, written, whiteboarding, and presentation skills, with the ability to communicate with both technical and executive audiences. Ability to work collaboratively across customers, partners, Sales, Product, Engineering, and Customer Engineering teams. Strong customer-success orientation, intellectual curiosity, sense of ownership, and ability to prioritize effectively in a fast-moving environment. Willingness to travel as needed to support customers, partners, field events, and internal team activities. Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related technical field; equivalent practical experience will also be considered. Equal Opportunity Policy (EEO) MinIO is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law.